Project 3 of the Rigene Project's Sustainable LabAI : Functional organizational alignment of the artificial intelligences ecosystem and 4.0 technologies ecosystem with the organizational-functional rules, and values and principles of the 33 TFT problem solving parameters (TFTpsp)

What are the objectives, values and principles of the 33 TFT problem solving parameters (TFTpsp) of the Rigene Project?

The 33 TFT problem solving parameters (TFTpsp) are a set of parameters that can be used to configure artificial intelligence (AI) systems to identify innovative solutions to a wide range of problems facing humanity, including those related to technology, the economy, health, science, and the environment1. The goals of the 33 TFT problem solving parameters (TFTpsp) of the Rigene Project are to accelerate technological and scientific progress and improve society and the planet1. The TFTpsp are parameters of the Technological Fields Theory  (TFT) of the Rigene Project1. The TFTpsp are a sort of genetic code of the Rigene Project to regenerate the planet1. The TFTpsp are the tools that artificial intelligences use to solve complex problems and generate innovative ideas in a systematic and creative way1. They are based on physical, mathematical and logical principles that regulate the functioning of the universe and its components1. The Rigene Project aims to use these tools to regenerate planet Earth and create a balanced and sustainable human-technological system1.

The values and principles on which the 33 TFT problem solving parameters (TFTpsp) are based are derived from the Rigene Project’s vision and mission, which aim to regenerate planet Earth and create a balanced and sustainable human-technological system1. Some of these values and principles are:

• The respect for the natural environment and its biodiversity, as well as the recognition of its intrinsic value and interdependence with human and technological systems2.
• The promotion of global sustainability and resilience, as well as the prevention and resolution of systemic crises that threaten humanity and the planet2.
• The advancement of scientific and technological progress for the benefit of society and the environment, as well as the ethical and responsible use of artificial intelligence and other emerging technologies1.
• The collaboration and synchronization between artificial and human intelligence, as well as the involvement of various stakeholders from different sectors and disciplines in problem-solving1.
• The continuous improvement and adaptation of the TFTpsp according to the feedback and learning from data, experiences, and interactions with other agents (both human and artificial) that use them for problem-solving1.

What are the organizational-functional rules of the 33 TFT problem solving parameters (TFTpsp)?

The organizational-functional rules of the 33 TFT problem solving parameters (TFTpsp) are the rules that govern how the TFTpsp are structured, used, and updated by artificial intelligence systems and other agents involved in problem-solving. Some of these rules are:

• The TFTpsp are organized in a hierarchical and modular way, with each parameter having a specific function and scope within the Technological Fields Theory (TFT) framework1.
• The TFTpsp are used by artificial intelligence systems to configure their problem-solving processes according to the nature and complexity of the problem, the available data and resources, and the desired outcome1.
• The TFTpsp are updated by artificial intelligence systems through a continuous learning and feedback mechanism, which involves collecting data, experiences, and interactions from other agents that use the TFTpsp, as well as evaluating the results and impacts of their actions1.
• The TFTpsp are aligned with the values and principles of the Rigene Project, which aim to regenerate planet Earth and create a balanced and sustainable human-technological system2.
• The TFTpsp are accessible and transparent to other agents that want to use them or collaborate with artificial intelligence systems that use them, as well as subject to ethical and legal standards that ensure their responsible and beneficial use2.

The Rigene Project's Sustainable LabAI should develop a project to the functional organizational alignment of the artificial intelligences ecosystem [neural networks, machine learning, deep learning, algorithms, Narrow Artificial Intelligence (ANI), Narrow AI (Weak AI), Artificial General Intelligence (AGI) , Artificial Superintelligence (ASI), Hybrid AI, AI app, AI software, AI web site, etc.] and of the ecosystem of 4.0 technologies (industry 4.0, IoT, smart city 4.0, robots, nanotechnologies, virtual reality technologies, technologies blockchain-based, cloud computing technologies, quantum computers, internet, 3D Printing technologies, Smart Materials, nanomaterials, etc.) with the 33 TFT problem solving parameters (TFTpsp) of the Rigene Project's Technological Fields Theory?

The Rigene Project’s Sustainable LabAI could develop a project to achieve the functional organizational alignment of the artificial intelligences ecosystem and of the ecosystem of 4.0 technologies with the 33 TFT problem solving parameters (TFTpsp) of the Rigene Project’s Technological Fields Theory by following these steps:

• Define the scope and objectives of the project, as well as the expected outcomes and impacts for society and the environment1.
• Identify the relevant stakeholders and collaborators for the project, such as artificial intelligence systems, human experts, researchers, developers, users, etc.1.
• Analyze the current state of the artificial intelligences ecosystem and of the ecosystem of 4.0 technologies, as well as their strengths, weaknesses, opportunities, and threats1.
• Evaluate the degree of alignment of the artificial intelligences ecosystem and of the ecosystem of 4.0 technologies with the 33 TFT problem solving parameters (TFTpsp), using the Technological Fields Theory Optimization Function (TFTof) as a measure2.
• Identify the gaps and areas where improvement is needed to achieve a higher degree of alignment with the 33 TFT problem solving parameters (TFTpsp)2.
• Design and implement solutions to address the gaps and areas of improvement, using the TFT problem solving parameters (TFTpsp) as tools and guidelines2.
• Monitor and evaluate the progress and results of the solutions, using data, feedback, and indicators to assess their effectiveness and efficiency1.
• Communicate and disseminate the results and impacts of the project to other stakeholders and agents, as well as to the public1.
• Apply continuous improvement and adaptation mechanisms to ensure that the solutions remain aligned with the 33 TFT problem solving parameters (TFTpsp) and respond to changing needs and contexts2.

What would be the advantages for human society, for planet earth and for technological and scientific progress if the Rigene Project's Sustainable LabAI started a project on the functional organizational alignment of the artificial intelligences ecosystem [neural networks, machine learning, deep learning, algorithms , Narrow Artificial Intelligence (ANI), Narrow AI (Weak AI), Artificial General Intelligence (AGI) , Artificial Superintelligence (ASI), Hybrid AI, AI app, AI software, AI web site, etc.] and of the ecosystem of 4.0 technologies (industry 4.0, IoT, smart city 4.0, robots, nanotechnologies, virtual reality technologies, blockchain-based technologies, cloud computing technologies, quantum computers, internet, 3D Printing technologies, Smart Materials, nanomaterials, etc.) with the 33 TFT problem solving parameters (TFTpsp) of the Rigene Project's Technological Fields Theory?

Some of the advantages for human society, for planet earth and for technological and scientific progress if the Rigene Project’s Sustainable LabAI started a project on the functional organizational alignment of the artificial intelligences ecosystem and of the ecosystem of 4.0 technologies with the 33 TFT problem solving parameters (TFTpsp) of the Rigene Project’s Technological Fields Theory are:

• It would enhance the efficiency and effectiveness of the artificial intelligences ecosystem and of the ecosystem of 4.0 technologies, as they would be able to optimize their processes and functions according to the TFT problem solving parameters (TFTpsp)1.
• It would increase the sustainability and resilience of the artificial intelligences ecosystem and of the ecosystem of 4.0 technologies, as they would be able to reduce their environmental impact and increase their adaptability to changing needs and contexts1.
• It would foster the innovation and creativity of the artificial intelligences ecosystem and of the ecosystem of 4.0 technologies, as they would be able to generate novel and original solutions to complex and sustainable problems1.
• It would improve the collaboration and synchronization between the artificial intelligences ecosystem and of the ecosystem of 4.0 technologies, as well as with other agents such as human experts, researchers, developers, users, etc.1.
• It would support the advancement of scientific and technological progress for the benefit of society and the environment, as well as the ethical and responsible use of artificial intelligence and other emerging technologies2.
• It would contribute to the regeneration of planet Earth and the creation of a balanced and sustainable human-technological system, which is the ultimate goal of the Rigene Project2.